Enhancing product quality in cross-border e-commerce with AI and big data

Abstract

Improving product quality is crucial for CBEC companies. Good quality products can reduce return rate and increase companies’ revenue.

This thesis summarized methods to improve product quality from two questionnaires and semi-structured interviews. Quantitative, qualitative research methods and big data analytics (BDA) methods were adopted. From the perspective of supply chain experts and international customers, a model of innovative methods to improve quality was formed. This model is centered around five elements of supply chain management (SCM), quality management tools (QMT), artificial intelligence (AI) technology, CBEC and customer needs.

Using AI technology and quality tools throughout the supply chain can improve product quality and reduce defect rates. By predicting the needs of international customers through BDA, problems can be discovered in advance and customized services can be provided. The method of improving product quality studied in this thesis can bring reference and guidance value to CBEC companies.